Our Approaches

At AgWise, we’re at the forefront of agricultural innovation, pioneering groundbreaking approaches to optimize crop management and drive sustainable development. Our diverse range of approaches include:

Field Trials Data with Machine Learning (ML)

We merge traditional field trials with ML algorithms for efficient, accurate insights.

QUEFTS-based Nutrient Rate Estimation

Utilizing the QUEFTS model, we optimize soil fertility and crop productivity.

QUEFTS plus Machine Learning (ML)

Integrating QUEFTS with ML enhances nutrient rate estimations.

Integration of Crop Models and ML

We combine crop models with ML for predictive growth and resource optimization.